188 related articles for article (PubMed ID: 33571195)
1. A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways.
Garrido-Rodriguez M; Lopez-Lopez D; Ortuno FM; Peña-Chilet M; Muñoz E; Calzado MA; Dopazo J
PLoS Comput Biol; 2021 Feb; 17(2):e1008748. PubMed ID: 33571195
[TBL] [Abstract][Full Text] [Related]
2. SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.
Johnson BK; Scholz MB; Teal TK; Abramovitch RB
BMC Bioinformatics; 2016 Feb; 17():66. PubMed ID: 26847232
[TBL] [Abstract][Full Text] [Related]
3. Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples.
Zambelli F; Pavesi G
Methods Mol Biol; 2021; 2284():77-96. PubMed ID: 33835439
[TBL] [Abstract][Full Text] [Related]
4. Short-Read RNA-Seq.
Hu R; Islam MN; Varghese RS; Ressom HW
Methods Mol Biol; 2024; 2822():245-262. PubMed ID: 38907923
[TBL] [Abstract][Full Text] [Related]
5. RAP: A Web Tool for RNA-Seq Data Analysis.
D'Antonio M; Libro P; Picardi E; Pesole G; Castrignanò T
Methods Mol Biol; 2021; 2284():393-415. PubMed ID: 33835454
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics Pipeline for Transcriptome Sequencing Analysis.
Djebali S; Wucher V; Foissac S; Hitte C; Corre E; Derrien T
Methods Mol Biol; 2017; 1468():201-19. PubMed ID: 27662878
[TBL] [Abstract][Full Text] [Related]
7. A Guide for Designing and Analyzing RNA-Seq Data.
Chatterjee A; Ahn A; Rodger EJ; Stockwell PA; Eccles MR
Methods Mol Biol; 2018; 1783():35-80. PubMed ID: 29767357
[TBL] [Abstract][Full Text] [Related]
8. RNA-Seq Data Analysis in Galaxy.
Batut B; van den Beek M; Doyle MA; Soranzo N
Methods Mol Biol; 2021; 2284():367-392. PubMed ID: 33835453
[TBL] [Abstract][Full Text] [Related]
9. Variant analysis pipeline for accurate detection of genomic variants from transcriptome sequencing data.
Adetunji MO; Lamont SJ; Abasht B; Schmidt CJ
PLoS One; 2019; 14(9):e0216838. PubMed ID: 31545812
[TBL] [Abstract][Full Text] [Related]
10. Analysis of RNA Sequencing Data Using CLC Genomics Workbench.
Liu CH; Di YP
Methods Mol Biol; 2020; 2102():61-113. PubMed ID: 31989550
[TBL] [Abstract][Full Text] [Related]
11. An optimized protocol for generation and analysis of Ion Proton sequencing reads for RNA-Seq.
Yuan Y; Xu H; Leung RK
BMC Genomics; 2016 May; 17():403. PubMed ID: 27229683
[TBL] [Abstract][Full Text] [Related]
12. MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing.
Kalari KR; Nair AA; Bhavsar JD; O'Brien DR; Davila JI; Bockol MA; Nie J; Tang X; Baheti S; Doughty JB; Middha S; Sicotte H; Thompson AE; Asmann YW; Kocher JP
BMC Bioinformatics; 2014 Jun; 15():224. PubMed ID: 24972667
[TBL] [Abstract][Full Text] [Related]
13. RNA-Seq in Nonmodel Organisms.
Chalifa-Caspi V
Methods Mol Biol; 2021; 2243():143-167. PubMed ID: 33606257
[TBL] [Abstract][Full Text] [Related]
14. Case Study: Systematic Detection and Prioritization of Gene Fusions in Cancer by RNA-Seq: A DIY Toolkit.
Vats P; Chinnaiyan AM; Kumar-Sinha C
Methods Mol Biol; 2020; 2079():69-79. PubMed ID: 31728962
[TBL] [Abstract][Full Text] [Related]
15. High Throughput Sequencing-Based Approaches for Gene Expression Analysis.
Reddy RRS; Ramanujam MV
Methods Mol Biol; 2018; 1783():299-323. PubMed ID: 29767369
[TBL] [Abstract][Full Text] [Related]
16. Differential Expression Analysis of RNA-seq Reads: Overview, Taxonomy, and Tools.
Chowdhury HA; Bhattacharyya DK; Kalita JK
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(2):566-586. PubMed ID: 30281477
[TBL] [Abstract][Full Text] [Related]
17. Indel detection from RNA-seq data: tool evaluation and strategies for accurate detection of actionable mutations.
Sun Z; Bhagwate A; Prodduturi N; Yang P; Kocher JA
Brief Bioinform; 2017 Nov; 18(6):973-983. PubMed ID: 27473065
[TBL] [Abstract][Full Text] [Related]
18. An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data.
Mah CK; Wenzel AT; Juarez EF; Tabor T; Reich MM; Mesirov JP
F1000Res; 2018; 7():1306. PubMed ID: 31316748
[TBL] [Abstract][Full Text] [Related]
19. Shiny-Seq: advanced guided transcriptome analysis.
Sundararajan Z; Knoll R; Hombach P; Becker M; Schultze JL; Ulas T
BMC Res Notes; 2019 Jul; 12(1):432. PubMed ID: 31319888
[TBL] [Abstract][Full Text] [Related]
20. Ryūtō: network-flow based transcriptome reconstruction.
Gatter T; Stadler PF
BMC Bioinformatics; 2019 Apr; 20(1):190. PubMed ID: 30991937
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
